Probability Collectives: A Distributed Multi-agent System Approach for Optimization (Intelligent Systems Reference Library, Band 86) - Softcover

Kulkarni, Anand Jayant Jayant; Tai, Kang; Abraham, Ajith

Softcover

ISBN 10: 3319365215 ISBN 13: 9783319365213

Verlag: Springer, 2016

Inhaltsangabe

This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.

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This book provides an emerging computational intelligence tool in the framework of collective intelligence for modeling and controlling distributed multi-agent systems referred to as Probability Collectives. In the modified Probability Collectives methodology a number of constraint handling techniques are incorporated, which also reduces the computational complexity and improved the convergence and efficiency. Numerous examples and real world problems are used for illustration, which may also allow the reader to gain further insight into the associated concepts.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2016
• Sprache: Englisch
• ISBN 10: 3319365215
• ISBN 13: 9783319365213
• Einband: Taschenbuch
• Anzahl der Seiten: 168
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland